Releases: DistrictDataLabs/partisan-discourse
Version 0.2 Beta 3
This is an intermediate release to ensure that some front end components become visible in advance of the first release. In particular the annotation help button on the document view and the about page that gives built with attribution. This release also fixes the "." in usernames bug that would not allow people to log in or access their profile.
This release also contains components that are not officially ready but sit quietly in the background waiting to be deployed. This includes the management command to build models, the corpus object to link data sets, estimator models for Scikit-Learn pipeline/estimator data storage and more. These elements will be discussed in detail in future releases.
Deployed: Monday, August 29, 2016
Contributor: Benjamin Bengfort and Sam Goodgame
Changes
- About page with "built with attribution"
- Help button for label description modals
- Better annotation javascript with button colors
- Transcripts Corpus Reader and initial model build commands
- Initial model build process and arbiter app to manage models
- Corpus model for fixing datasets to models
- CorpusLoader and QueryCorpus reader to build models from the database
- Bugfix for usernames with "." in them
- train management command to build estimators
- Initial documentation
Version 0.1 Beta 1
This is the first beta release of the Political Discourse application. Right now this simple web application allows users to sign in, then add links to go fetch web content to the global corpus. These links are then preprocessed using NLP foo. Users can tag the documents as Republican or Democrat, allowing us to build a political classifier.
Deployed: Monday, July 18, 2016
Contributor: Benjamin Bengfort
Changes
- Add the members app from Trinket, but stripped down specifically for this application
- Added Python Social Auth for authentication with Google OAuth.
- Added a status endpoint to report on the version and health of the api.
- Added a corpus app that manages documents and annotations.
- Added a feature that allows users to enter a url and the app will ingest and parse it.
- Added Bit.ly url shortening
- Added NLTK preprocessing of documents
- Added annotation functionality for users to label documents
- Added recent activity listing and red/blue specific labels
- Updated the user profile with app specific information